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Who cites Yifan Li

445 citations of their works from 445 papers of our library (of the 149,439 whose bibliographies we read) · 119 with a page here, the most cited first · page 2 of 2 · 101–119 · ← Yifan Li

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  1. Latent Attention Denoising: A Training-Free Energy-Based Framework for Mitigating Hallucinations in Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiwen Luo, Siyu Jiang, Weilong Jiang, et al.2026
  2. MessToClean: Evidence-Grounded Structure-Preserving Reconstruction for Real-World Degraded Exam Paper ImagesAnnual Meeting of the Association for Computational Linguistics (ACL)Jiayi Tuo, Cheng Tang, Zihan Wang, et al.2026
  3. Mitigating Action-Relation Hallucinations in LVLMs via Relation-aware Visual EnhancementAnnual Meeting of the Association for Computational Linguistics (ACL)Zhenxin Qin, Qiang Li, Qingzhuo Wang, et al.2026
  4. Mitigating Hallucinations in Large Vision-Language Models without Performance DegradationAnnual Meeting of the Association for Computational Linguistics (ACL)Xingyu Zhu, Junfeng Fang, Shuo Wang, et al.2026
  5. Mitigating Hallucinations in VLMs: Enhancing Visual Attention via Head-Wise PerturbationFindings of the Association for Computational LinguisticsZhenghua Wang, Yixin Wu, Feiran Zhang, et al.2026
  6. MODE-RAG: Manifold Outlier Diagnosis and Energy-based Retrieval-Augmented Generation EvaluationWorkshop on Multimodal Augmented Generation via Multimodal RetrievalZehang Wei, JiaXin Dai, Jiamin Yan, et al.2026
  7. Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and BenchmarksFindings of the Association for Computational LinguisticsNobin Sarwar, Shubhashis Roy Dipta, Zheyuan Liu, et al.2026
  8. PAR: Training-Free Positional Perturbation and Attention Recycling for Faithful OCRAnnual Meeting of the Association for Computational Linguistics (ACL)Yao Yao, Manwen Liao, Weitian Zhang, et al.2026
  9. RATION: Entropy-Driven Task-Adaptive Visual Attention Allocation Framework for Multimodal ReasoningFindings of the Association for Computational LinguisticsXingle Xu, Fanheng Kong, Dexian Cai, et al.2026
  10. Reducing Token Redundancy in LVLMs: A Systematic Review of Token Pruning MethodsAnnual Meeting of the Association for Computational Linguistics (ACL)Hanzhang Yuan, Mengxuan Hu, Wenhao Zhang, et al.2026
  11. S2H-DPO: Hardness-Aware Preference Optimization for Vision–Language ModelsFindings of the Association for Computational LinguisticsNitish Shukla, Surgan Jandial, Arun Ross2026
  12. Simple-VGC: Enhancing Visual Grounding in Multimodal Reasoning via Adaptive Tool CompositionAnnual Meeting of the Association for Computational Linguistics (ACL)Ye Wang, Qianglong Chen, Siyuan Wang, et al.2026
  13. Spotlight and Shadow: Attention-Guided Dual-Anchor Introspective Decoding for MLLM Hallucination MitigationFindings of the Association for Computational LinguisticsYebo Wu, Han Jin, Zhijiang Guo, et al.2026
  14. Taming Object Hallucinations with Verified Atomic Confidence EstimationConference of the European Chapter of the Association for Computational Linguistics (EACL)Jiarui Liu, Weihao Xuan, Zhijing Jin, et al.2026
  15. TokenPenalty: Alleviating Attention Sinks and Positional Decay in LVLMsFindings of the Association for Computational LinguisticsXiaofeng Zhang, Yuanchao Zhu, Qiyan Zhao, et al.2026
  16. UMMF: Protecting Copyright of Large Vision-Language Models through Unlearning-based Multimodal Memorization FingerprintAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaofan Zheng, Xinghao Wang, Xiaojun Wan2026
  17. UniCM: A Unified Consistency Model For Efficient Multimodal Generation and UnderstandingFindings of the Association for Computational LinguisticsChenkai Xu, Xu Wang, Zhenyi Liao, et al.2026
  18. When Seeing Is not Enough: Revealing the Limits of Active Reasoning in MLLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Hongcheng Liu, Pingjie Wang, Yuhao Wang, et al.2026
  19. Survey on Hallucinations in Large Language Models (大语言模型的幻觉问题研究综述)Journal of SoftwareZeyuan Liu (刘泽垣), Pengjiang Wang (王鹏江), Xiaobin Song (宋晓斌), et al.2024

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